基于RVM和阻抗法对串联电容补偿输电线路的故障定位
|
摘要
在串补输电线路(SCCTL)中通常采用金属氧化物变阻器(Metal-Oxide Varistor,MOV)对串补装置中的电容做主保护,而MOV具有典型的非线性特征,给串补输电线路的故障定位带来难题。基于此,提出一种新的接地故障定位方法,首先对接地故障进行分类识别,再针对不同故障类型用阻抗法进行故障定位,将SCCTL相对于串补装置分为两个区域,并对应采用两个子算法对故障进行定位,无需附加程序对子算法的计算结果进行伪根判别。该阻抗法不依赖串补装置的模型,不受MOV非线性特征的影响。最后在PSCAD/EMTDC仿真软件中建立一500kV的串补输电线路模型,用MATLAB实现故障定位算法,仿真结果验证了此方法具有较高的定位精度。
The metal-oxide varistor( MOV),a typical non-linear element,is usually used to mainly protect series capacitor in series compensation devices( SCD) of SCCTL,and it makes location of faults in series compensated trans-mission line( SCCTL) a challenging task. In this paper,an accurate fault location algorithm is presented which firstly classifies the ground faults,and then,locates them by impedance method,and which provides fault location results without using the model of SCD and is immune to the effects of MOV. Furthermore,the proposed method adopts two routines to attain the aims of locating faults on the basis of splitting the SCCTL in two parts concerning the position of SCD,and there is no need an extra procedure to make sure the validity of results. Thereafter,a 500 KV system with an SCCTL is designed in PSCAD/EMTDC while the fault location algorithm is modeled in MATLAB. The proposed algorithm is tested through simulations covering various fault scenarios in an SCCTL. The simulation results indicate that the proposed method has higher fault location accuracy.
The metal-oxide varistor( MOV),a typical non-linear element,is usually used to mainly protect series capacitor in series compensation devices( SCD) of SCCTL,and it makes location of faults in series compensated trans-mission line( SCCTL) a challenging task. In this paper,an accurate fault location algorithm is presented which firstly classifies the ground faults,and then,locates them by impedance method,and which provides fault location results without using the model of SCD and is immune to the effects of MOV. Furthermore,the proposed method adopts two routines to attain the aims of locating faults on the basis of splitting the SCCTL in two parts concerning the position of SCD,and there is no need an extra procedure to make sure the validity of results. Thereafter,a 500 KV system with an SCCTL is designed in PSCAD/EMTDC while the fault location algorithm is modeled in MATLAB. The proposed algorithm is tested through simulations covering various fault scenarios in an SCCTL. The simulation results indicate that the proposed method has higher fault location accuracy.
引文
[1]李志斌,许云辉,吴宝兴.基于S变换的行波法高压输电线路故障定位[J].电测与仪表,2014,51(1):40-42.Li Zhibin,Xu Yunhui,Wu Baoxing. Traveling Wave Fault Location Method for High Voltage Power Transmission Lines Based on S-transform[J]. Electrical Measurement&Instrumentation,2014,51(1):40-42.
[2]蔡欣雷,宋国兵,高淑萍,等.利用电流固有频率的VSC-HVDC直流输电线路故障定位[J].中国电机工程学报,2011,31(8):112-119.Cai Xinlei,Song Guobing,Gao Shuping,et al. A Novel Fault-location Method for VSC-HVDC Transmission Lines Based on Natural Frequency of Current[J]. Proceedings of the CSEE,2011,31(8):112-119.
[3]高艳丰,朱永利,范国琛.基于改进双端法的输电线路行波故障故障定位[J].电测与仪表,2015,52(1):41-46.Gao Yanfeng,Zhu Yongli,Fan Guochen. Traveling Waves Fault Location of Transmission Lines Based on Improved double-end Method[J].Electrical Measurement&Instrumentation,2015,52(1):41-46.
[4]陈铮,苏进喜,等.基于分布参数模型的高压输电线路故障测距算法[J].电网技术,2000,24(11):31-33.Chen Zheng,Su Jinxi,et al. Fault Location Algorithm for High Voltage Transmission Line Based on Distributed Parameter[J]. Power System Technology,2000,24(11):31-33.
[5]陈铮,董新洲,罗承沐.带串联电容补偿装置的高压输电线路双端故障测距新算法[J].中国电机工程学报,2003,23(1):11-15.Chen Zheng,Dong Xinzhou,Luo Chengmu. A New Accurate Two-terminal Location Algorithm for Compensated Line[J]. Proceedings of the CSEE,2003,23(1):11-15.
[6]张莹,梁军,等.基于分布参数的串联补偿双回线单线故障定位算法[J].电力系统自动化,2017,41(1):134-139.Zhang Ying,Liang Jun,et al. Distributed Parameter Model Based Single-line Fault Location Algorithm for Series-compensated Double-circuit Transmission Lines[J]. Automation of Electric Power System,2017,41(1):134-139.
[7]朱彦沛,李文璟,等.基于交互式主动探测的电力综合数据网故障定位法[J].电力系统自动化,2017,41(4):35-40.Zhu Yanpei,Li Wenjing,et al. Fault Location Algorithm of Integrated Data Network for Power System Based on Interactive Active Detection[J]. Automation of Electric Power System,2017,41(4):35-40.
[8]韩彦华,施围.串补输电线路的精确故障定位算法[J].中国电机工程学报,2002,22(5):75-77.Han Yanhua,Shi Wei. Accurate Fault Location Algorithm for Series Compensated Transmission Lines[J]. Proceedings of the CSEE,2002,22(5):75-77.
[9]黄子俊,陈允平.基于小波变换的行波故障定位法在串补输电线路中的应用[J].电网技术,2004,28(18):5-9.Huang Yujun,Chen Yunping. Application of Wavelet Transform Based Travelling Wave Fault Location to Series Compensated Lines[J]. Power System Technology,2004,28(18):5-9.
[10]Jan Izykowski,Eugeniusz Rosolowski,et al. Fault Location on Doublecircuit Series-compensated Lines Using Two-ended Unsynchronized Measurements[J]. IEEE Transactions on Power Delivery,2011,26(4):2072-2079.
[11]C. S. Yu,C. W. Liu,et al. A New PMU-based Fault Location Algorithm for Series Compensated Lines[J]. IEEE Transactions on Power Delivery,2002,17(1):33-46.
[12]T. P. S. Bains,M. R. D. Zadeh,Challenges and recommendations for fault location in series compensated transmission lines[C]. IEEE PES General Meeting,National Harbor,MD,2014:1-5.
[13]黄建明,李晓明,等.考虑小波奇异信息与不平衡数据集的输电线路故障识别方法[J].中国电机工程学报,2017,37(11):3100-3107.Huang Jianming,Li Xiaoming,et al. Method for Fault Tape Identification of Transmission Line Considering Wavelet Singular Information and Unbalanced Dataset[J]. Proceedings of the CSEE,2017,37(11):3100-3107.
[14]T. P. S. Bains,T. S. Sidhu,et al. Impedance-based fault location algorithm for ground faults in series capacitor compensated transmission lines[J]. IEEE Transactions on Power Delivery,DOI:10. 1109/TPWRD.2017. 2711358
[15]Tipping M E. Sparse Bayesian Learning and the Relevance Vector Machine[J]. Journal of Machine Learning Research,2001,1(3):211-244.
[16]刘嘉蔚,李奇,等.基于多分类相关向量机和模糊C均值聚类的有轨电车用燃料电池系统故障诊断方法[J].中国电机工程学报,2009,(29):1-9.Liu Jiawei,Li Qi,et al. Fault Diagnosis Method of Fuel Cell System for Tramway Based on Multi-class Relevance Vector Machine and Fuzzy Clustering[J]. Proceedings of the CSEE,2009,(29):1-9.
[17]刘晓东,刘朦月,等. EEMD-PE与M-RVM相结合的轴承故障诊断方法[J].哈尔滨工业大学学报,2017,49(9):122-128.Liu Xiaodong,Liu Mengyue,et al. Rolling Bearing Fault Diagnosis Based on EEMD-PE Coupled with M-RVM[J]. Journal of Harbin Institute of Technology,2017,49(9):122-128.
[18]Mi COM P40 Agile:Technical Manual(Single Breaker Multi-End Current Differential IED)[M]. GE Grid Solutions,Markham,2017:518.
[2]蔡欣雷,宋国兵,高淑萍,等.利用电流固有频率的VSC-HVDC直流输电线路故障定位[J].中国电机工程学报,2011,31(8):112-119.Cai Xinlei,Song Guobing,Gao Shuping,et al. A Novel Fault-location Method for VSC-HVDC Transmission Lines Based on Natural Frequency of Current[J]. Proceedings of the CSEE,2011,31(8):112-119.
[3]高艳丰,朱永利,范国琛.基于改进双端法的输电线路行波故障故障定位[J].电测与仪表,2015,52(1):41-46.Gao Yanfeng,Zhu Yongli,Fan Guochen. Traveling Waves Fault Location of Transmission Lines Based on Improved double-end Method[J].Electrical Measurement&Instrumentation,2015,52(1):41-46.
[4]陈铮,苏进喜,等.基于分布参数模型的高压输电线路故障测距算法[J].电网技术,2000,24(11):31-33.Chen Zheng,Su Jinxi,et al. Fault Location Algorithm for High Voltage Transmission Line Based on Distributed Parameter[J]. Power System Technology,2000,24(11):31-33.
[5]陈铮,董新洲,罗承沐.带串联电容补偿装置的高压输电线路双端故障测距新算法[J].中国电机工程学报,2003,23(1):11-15.Chen Zheng,Dong Xinzhou,Luo Chengmu. A New Accurate Two-terminal Location Algorithm for Compensated Line[J]. Proceedings of the CSEE,2003,23(1):11-15.
[6]张莹,梁军,等.基于分布参数的串联补偿双回线单线故障定位算法[J].电力系统自动化,2017,41(1):134-139.Zhang Ying,Liang Jun,et al. Distributed Parameter Model Based Single-line Fault Location Algorithm for Series-compensated Double-circuit Transmission Lines[J]. Automation of Electric Power System,2017,41(1):134-139.
[7]朱彦沛,李文璟,等.基于交互式主动探测的电力综合数据网故障定位法[J].电力系统自动化,2017,41(4):35-40.Zhu Yanpei,Li Wenjing,et al. Fault Location Algorithm of Integrated Data Network for Power System Based on Interactive Active Detection[J]. Automation of Electric Power System,2017,41(4):35-40.
[8]韩彦华,施围.串补输电线路的精确故障定位算法[J].中国电机工程学报,2002,22(5):75-77.Han Yanhua,Shi Wei. Accurate Fault Location Algorithm for Series Compensated Transmission Lines[J]. Proceedings of the CSEE,2002,22(5):75-77.
[9]黄子俊,陈允平.基于小波变换的行波故障定位法在串补输电线路中的应用[J].电网技术,2004,28(18):5-9.Huang Yujun,Chen Yunping. Application of Wavelet Transform Based Travelling Wave Fault Location to Series Compensated Lines[J]. Power System Technology,2004,28(18):5-9.
[10]Jan Izykowski,Eugeniusz Rosolowski,et al. Fault Location on Doublecircuit Series-compensated Lines Using Two-ended Unsynchronized Measurements[J]. IEEE Transactions on Power Delivery,2011,26(4):2072-2079.
[11]C. S. Yu,C. W. Liu,et al. A New PMU-based Fault Location Algorithm for Series Compensated Lines[J]. IEEE Transactions on Power Delivery,2002,17(1):33-46.
[12]T. P. S. Bains,M. R. D. Zadeh,Challenges and recommendations for fault location in series compensated transmission lines[C]. IEEE PES General Meeting,National Harbor,MD,2014:1-5.
[13]黄建明,李晓明,等.考虑小波奇异信息与不平衡数据集的输电线路故障识别方法[J].中国电机工程学报,2017,37(11):3100-3107.Huang Jianming,Li Xiaoming,et al. Method for Fault Tape Identification of Transmission Line Considering Wavelet Singular Information and Unbalanced Dataset[J]. Proceedings of the CSEE,2017,37(11):3100-3107.
[14]T. P. S. Bains,T. S. Sidhu,et al. Impedance-based fault location algorithm for ground faults in series capacitor compensated transmission lines[J]. IEEE Transactions on Power Delivery,DOI:10. 1109/TPWRD.2017. 2711358
[15]Tipping M E. Sparse Bayesian Learning and the Relevance Vector Machine[J]. Journal of Machine Learning Research,2001,1(3):211-244.
[16]刘嘉蔚,李奇,等.基于多分类相关向量机和模糊C均值聚类的有轨电车用燃料电池系统故障诊断方法[J].中国电机工程学报,2009,(29):1-9.Liu Jiawei,Li Qi,et al. Fault Diagnosis Method of Fuel Cell System for Tramway Based on Multi-class Relevance Vector Machine and Fuzzy Clustering[J]. Proceedings of the CSEE,2009,(29):1-9.
[17]刘晓东,刘朦月,等. EEMD-PE与M-RVM相结合的轴承故障诊断方法[J].哈尔滨工业大学学报,2017,49(9):122-128.Liu Xiaodong,Liu Mengyue,et al. Rolling Bearing Fault Diagnosis Based on EEMD-PE Coupled with M-RVM[J]. Journal of Harbin Institute of Technology,2017,49(9):122-128.
[18]Mi COM P40 Agile:Technical Manual(Single Breaker Multi-End Current Differential IED)[M]. GE Grid Solutions,Markham,2017:518.